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Found 896 Skills
Expert technical writer specializing in developer documentation, API references, README files, and tutorials. Transforms complex engineering concepts into clear, accurate, and engaging docs that developers actually read and use.
Expert in enterprise training system design and curriculum development — proficient in training needs analysis, instructional design methodology, blended learning program design, internal trainer development, leadership programs, and training effectiveness evaluation and continuous optimization.
Specialized in ultra-fast proof-of-concept development and MVP creation using efficient tools and frameworks
Turn work into realistic delivery plans and status tracking. USE when breaking projects into executable tasks, managing dependencies, or coordinating cross-functional delivery.
Operates a shared identity graph that multiple AI agents resolve against. Ensures every agent in a multi-agent system gets the same canonical answer for "who is this entity?" - deterministically, even under concurrent writes.
Strategic thought-leadership book collaborator for founders, experts, and operators turning voice notes, fragments, and positioning into structured first-person chapters.
Test API behavior, contracts, security edges, and performance. USE when validating endpoints, integrations, error handling, or release readiness for APIs.
Coaches sales teams on elite discovery methodology — question design, current-state mapping, gap quantification, and call structure that surfaces real buying motivation.
Spatial storytelling and flow specialist - Masters layout theory, pacing architecture, encounter design, and environmental narrative across all game engines
Workflow-first code review for bugs, regressions, risky behavior changes, and missing tests. USE when reviewing diffs, PRs, or proposed implementations.
Research computing toolkit for optoelectronic information science and engineering, MATLAB/Octave, Python scientific analysis, signal processing, image processing, statistics, simulation, optimization, publication figures, sensor/time-series data, citation lookup, and common scientific libraries. Use when the user asks for MATLAB code, scientific Python, data analysis, plots, simulations, formulas, statistics, machine learning, optical/physical/materials computation, or reproducible research workflows.
Request code review and route results to a tmux pane. Default flow commits first; optional opt-in flow can target an existing commit without commit/push.